Blowing up solutions of semilinear P.D.E. with convex potentials
Panayotis Smyrnelis

TL;DR
This paper establishes the existence and uniqueness of solutions to a class of semilinear PDEs with convex potentials that blow up at the boundary of a domain, including cases with boundary subsets where the solution diverges to infinity.
Contribution
It proves the existence and uniqueness of boundary blow-up solutions for semilinear PDEs with convex potentials on Lipschitz domains, including boundary conditions with multiple disjoint subsets.
Findings
Unique solutions with boundary blow-up behavior are guaranteed.
Solutions exist for convex potentials growing fast at infinity.
The results cover cases with multiple boundary subsets with specified blow-up conditions.
Abstract
We consider convex potentials vanishing at and growing sufficiently fast at . Given any open set with Lipschitz and compact boundary, we prove the existence and uniqueness of a solution of in , such that or on . Moreover, if is the union of two disjoint compact subsets and , there also exists a unique solution satisfying on and on .
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Taxonomy
TopicsNonlinear Partial Differential Equations · Advanced Mathematical Modeling in Engineering · Geometric Analysis and Curvature Flows
Blowing up solutions of semilinear P.D.E. with convex potentials
Panayotis Smyrnelis
Institute of Mathematics, Polish Academy of Sciences, 00-956 Warsaw, Poland
Abstract.
We consider convex potentials vanishing at [math] and growing sufficiently fast at . Given any open set with Lipschitz and compact boundary, we prove the existence and uniqueness of a solution of in , such that or on . Moreover, if is the union of two disjoint compact subsets and , there also exists a unique solution satisfying on and on .
1. Introduction and statement of the main theorem
In this paper we study the solutions of the P.D.E.
[TABLE]
where is an open set (possibly unbounded) with Lipschitz boundary, and is a potential satisfying the following hypotheses:
[TABLE]
For instance we can take , with , or . The corresponding O.D.E.
[TABLE]
is Newton’s one dimensional equation for a unit mass and potential energy , where the variable stands for time. We recall that the Hamiltonian
[TABLE]
or total mechanical energy, is constant along solutions. Assuming that satisfies (2), the maximal solutions of (3) such that are defined on bounded intervals (cf. Proposition 2.1). More precisely, for every bounded interval , there exists a unique solution of (3) diverging to (resp. ) at the endpoints and . In addition, there also exists a unique solution such that at , and at (resp. at , and at ). On the other hand, [math] is the only solution defined on all , while the remaining solutions with are defined on half-bounded intervals or : they converge to [math] at (resp. ), and blow up at (resp. ). In the case where instead of (2b), we assume that , and , then every maximal solution of (3) is defined on .
The scope of this paper is to construct in a general setup the analog of the aforementioned orbits for P.D.E. (1), that is, solutions which are infinite on : cf. (i) and (ii) in Theorem 1.1 below. Theorem 1.1 (i) has first been proved in [8] for the special choice of , in order to investigate certain conformally invariant P.D.E. associated with Riemannian metrics. For more applications in geometric analysis, in particular in the theory of mean curvature surfaces and harmonic maps, we refer to [7], [9], [6], [2], and [4]. In contrast with [8], where is assumed to be the union of smooth manifolds of sufficiently small codimension, we consider open sets with Lipschitz boundary. As far as we know, the solutions in Theorem 1.1 (ii) have not appeared in the litterature.
Theorem 1.1**.**
Given any open set with Lipschitz boundary, and assuming (2):
- (i)
There exists a positive solution of (1) such that
[TABLE]
- (ii)
If is partitioned into two disjoint closed subsets and , there also exists a solution of (1) such that
[TABLE]
- (iii)
In addition, denoting by the Euclidean distance, the solutions in (i) and (ii) above satisfy
[TABLE]
- (iv)
Assuming moreover that is compact, and is convex on and concave on , the solution of (1) satisfying (5) (resp. (6)) is unique.
2. Structure of solutions of O.D.E. (3)
For the convenience of the reader we recall in this section the structure of solutions of O.D.E. (3). In the phase plane these orbits are described by equation (4), expressing the conservation of the total mechanical energy. Depending on the sign of , we present in Proposition 2.1 below, the four different kinds of orbits obtained. The solutions with negative Hamiltonian , for some , correspond to case (a), while the ones with positive , to case (b). Finally, the solutions whose Hamiltonian vanishes are examined in cases (c) and (d).
Proposition 2.1**.**
Assuming (2), any solution of (3) coincides up to translation and change of by , with one of the solutions , , , , or [math] described below:
- (a)
For every , the maximal solution of (3) such that
[TABLE]
is defined on the interval , with
[TABLE]
* is also even, and is strictly increasing and onto. Moreover, the function is continuous, strictly decreasing, and onto.*
Similarly when , the maximal solution of (3) satisfying (8) is even and defined on the interval with
[TABLE]
In addition, is strictly decreasing and onto, while , is continuous, strictly increasing and onto.
- (b)
For every , the maximal solution of (3) such that , and , is defined on the interval , with
[TABLE]
and
[TABLE]
* is also strictly increasing, and onto. Moreover, the functions are continuous, strictly decreasing, and onto.*
- (c)
There exists a unique solution (resp. ) of (3) defined on and such that (resp. ). Moreover, (resp. ) is strictly decreasing (resp. increasing), and onto.
- (d)
* is the only solution of (3) defined on all .*
*Proof. * (a) A maximal solution of (3) such that satisfies in view of (4). Thus, if and are the two roots of the equation , we will have either or . In what follows, we shall examine only the former case, since the latter is similar. Actually, since the maximal solution is convex on , we have , and , as (resp. ). Thus, , and , hold for some . This implies that up to a translation coincides with . In addition, since is also a solution of (3) satisfying (8), we can see that is even. Let us now compute the length of the interval where is defined. The derivative is positive on , hence is strictly increasing and onto. As a consequence of (4), for . Setting , we have , and in view of (2b):
[TABLE]
Moreover, since is convex, one can see that implies that
[TABLE]
and due to (2b) the equality in (9) cannot hold for every . Thus, . From (9) it also follows by dominated convergence that is continuous, and that , since , , in view of (2b). Finally, we obtain by monotone convergence , since
[TABLE]
(b) Similarly, one can show that a maximal solution of O.D.E. (3), with , is strictly monotone and such that . Up to translation, and change of by , it coincides with the solution . The length of the interval where is defined, is determined as in (a), and the properties of are established in a similar way.
(c) and (d) Finally, a maximal solution of (3) such that , and for some , is identically [math] in view of (4) and the uniqueness result for O.D.E. One can easily prove that the remaining maximal solutions such that , coincide up to translation and change of by , either with the solution or . ∎
3. Construction of supersolutions and subsolutions
We shall utilize two basic results for P.D.E. (1): the existence of a unique solution of the Dirichlet problem in a bounded domain with bounded boundary condition, and the maximum principle.
Lemma 3.1**.**
Let be a potential satisfying (2a), and let be a bounded open set with Lipschitz boundary. Then, given , the Dirichlet problem
[TABLE]
has a unique solution in .
*Proof. * The solution of (10) is the global minimizer of the energy functional E(u)=\int_{\omega}\big{(}\frac{1}{2}|\nabla u|^{2}+W(u)\big{)} in the closed affine subspace . The uniqueness of the solution follows by the strict convexity of . ∎
Lemma 3.2**.**
Let be a potential satisfying (2a), and let be a bounded open set with Lipschitz boundary. Then, given , such that
[TABLE]
the condition on (in the sense of the trace) implies that a.e. in .
*Proof. * Setting , we have by the convexity of :
[TABLE]
with , and . Thus, the maximum principle can be applied to to deduce that .∎
From Proposition 2.1 we easily obtain a family of supersolutions and subsolutions of (1):
Lemma 3.3**.**
Let be the orbit (cf. (8)) provided by Proposition 2.1 (a) for the potential . Then, is a supersolution (resp. subsolution) of (1) when (resp. ). As a consequence, [math] is the only solution of (1) defined in .
*Proof. * We first show that is a supersolution when . Indeed, by the mean value theorem, and the convexity of , we have:
[TABLE]
In the same way, we establish that is a subsolution when . Finally, if is a solution of (1), we can see that is bounded above by the functions , for every , and . Indeed, it is clear that holds for , with small enough. Thus, in view of Lemma 3.2, also holds for . Letting , we deduce that . The proof that , is similar. ∎
Next, in order to establish the boundary conditions (5) and (6), we construct ‘barrier’ functions defined in annuli. Property (ii) in Lemma 3.4 is essential to address the issue of Lipschitz boundaries. In what follows we denote by the ball of radius centered at .
Lemma 3.4**.**
Given , there exists for every , a radial solution of (1) defined in the annulus , and such that
- (i)
* is strictly decreasing, with , and ,*
- (ii)
, holds for every fixed.
*Proof. * It is convenient to work in a fixed annulus , by setting , and to seek instead of , a radial solution of
[TABLE]
We first consider the solution of the Dirichlet problem
[TABLE]
It is easy to see that is radial i.e. , with strictly decreasing and convex on . Moreover, in view of Lemmas 3.2 and 3.3, the sequence is increasing, and uniformly bounded on the closed annuli , for every . By elliptic estimates [5, §3.4], the first and second derivatives of are also uniformly bounded on these annuli. Thus, we can apply the theorem of Ascoli to , and passing to the limit we obtain that is a radial solution of (11). Setting, , we have
[TABLE]
with , , and on . We also note that implies that . Indeed, by Lemma 3.2 we have for every , since .
It remains to show (ii) i.e. that , holds for every fixed. Assume by contradiction that . Our first claim is that is an open interval , with . On the one hand it is clear that , implies that . On the other hand, if , we obtain by elliptic estimates and the convexity of , that is uniformly bounded, since is uniformly bounded on . Next, an integration of (13) over the interval gives
[TABLE]
Thus, setting , and defining such that , we deduce from (14) that the functions are uniformly bounded on by a constant . In particular we have , and thus . This proves our claim that is an open interval . Since on the intervals with , the functions are uniformly bounded up to the second derivatives, we can apply again the theorem of Ascoli, and obtain at the limit , where is a radial harmonic function defined on . Finally, we notice that , since otherwise we would have . To conclude, we recall that a radial harmonic function is up to a multiplicative factor and an additive constant, the fundamental solution of Laplace’s equation. Thus, the asymptotic condition cannot be realized. ∎
4. Proof of Theorem 1.1
*Proof of (i). * We consider the solution of the Dirichlet problem
[TABLE]
It is clear in view of Lemmas 3.2 and 3.3 that , , and that the sequence is uniformly bounded on compact subsets of . Moreover, by elliptic estimates [5, §3.4], we obtain that the first and second derivatives of are as well uniformly bounded on compact subsets. Thus, the theorem of Ascoli via a diagonal argument, implies that up to a subsequence, converges in to a solution of (1) defined in . Next, since is Lipschitz [3, §4.2], given and , there exist independent of , and an annulus , such that , and . Finally, given , we choose such that (cf. Lemma 3.4 (ii)). Then, we see by Lemma 3.2 that implies that in , since on , and on . As a consequence, holds on , for every , and letting , we deduce that holds in . This proves that . To complete the proof it remains to show that . By construction it is obvious that . On the other hand, if for some , then the maximum principle would imply that , which is a contradiction. ∎
*Proof of (ii). * Now we consider the solution of the Dirichlet problem
[TABLE]
with . Clearly, is Lipschitz in , thus . In view of Proposition 2.1 (a) and Lemma 3.3 we have on the one hand
[TABLE]
and on the other hand
[TABLE]
Then, proceeding as in the proof of (i) we can see that converges in to a solution of (1) defined in . To establish the boundary condition (6) in a neighbourhood of a point , we consider instead of the barrier function , where is such that . In view of (16), the bound holds on , uniformly in . Finally, we notice that Lemma 3.2 can be applied as previously to and , since the latter function is a subsolution. In this way we establish that . The proof of (6) in a neighbourhood of a point is similar. ∎
*Proof of (iii). *
Lemma 4.1**.**
Assuming (2) and that the function is unbounded, then every solution of (1) defined in satisfies .
*Proof. * In view of Proposition 2.1 (a) and Lemma 3.3, the condition implies that (resp. ) for every (resp. ). Thus, the lemma follows by letting .∎
*Proof of (iv) in the case of boundary condition (5). *
Let and be two solutions of (1) satisfying (5). Our claim is that given , there exist and a constant such that holds for . Indeed, since is Lipschitz, there exists a ball such that after a change of coordinates we have , where is a Lipschitz function [3, §4.2]. By taking smaller if necessary we may also assume that on . Next we choose such that , and define . In view of Lemma 3.3 and the convexity of on , it follows that is a supersolution of (1). Moreover, we have that , as , with . Finally, Lemma 3.2 applied in to and (with small), implies that , . Letting , we deduce that , , thus our claim is established by taking , and .
Clearly, when is compact, there exits a constant such that the inequality holds in a neighbourhood of , and in addition (resp. ), as (with ). As a consequence (resp. ) cannot take negative values in . Indeed, otherwise (resp. ) would attain in view of Lemma 4.1 its negative minimum at a point , and we would get .
Next, given and , we consider the inequality holding when , with small. It follows from Lemma 4.1 that we also have when , with large enough. To conclude, we notice that is a supersolution, since , and is convex on . Thus, Lemma 3.2 implies that the inequality holds as well when , and . This establishes that in . By letting , and , we obtain in , and by interchanging with we get . ∎
*Proof of (iv) in the case of boundary condition (6). *
Now we consider and two solutions of (1) satisfying (6). Since the subsets are compacts, we can show as previously that there exists a constant such that
[TABLE]
In addition, we still have that
[TABLE]
In the case of boundary condition (6), the construction of the comparison function is much more involved. Let . Our first claim is that
[TABLE]
This is obvious when . On the other hand, if we have , and . By the concavity of on , it follows that , which establishes (20).
Next, we define the constants:
- •
such that ,
- •
,
- •
\mu\in\Big{(}0,\min\Big{(}\frac{1}{4M},\frac{1}{4\int_{-\eta}^{0}(-W^{\prime})}\Big{)}\Big{)},
- •
\delta=\mu\int_{-\eta}^{0}(-W^{\prime})\in\big{(}0,\frac{1}{4}\big{)},
and the continuous function
[TABLE]
Note that , for , since is increasing on . Let also be the primitive of such that
[TABLE]
and the primitive of such that
[TABLE]
It is clear that is a smooth, convex, and strictly increasing function. One can easily check that
[TABLE]
We are going to show that on . We first notice that the function satisfies for , with small (cf. (18), (19)), and also for (cf. (21) and the definition of ). To deduce that holds as well when , and , it remains in view of Lemma 3.2 to establish that is a supersolution of (1) in .
To see this, we distinguish the three following cases. If , we have
[TABLE]
by the convexity of on , and the convexity of . Otherwise, if , we check as well that
[TABLE]
by the concavity of on , and the convexity of . Finally, if , we compute
[TABLE]
and we have
- •
, since .
- •
.
Thus, we still get , by (20), (21), and the convexity of .
This proves that holds in , for every choice of , and \mu\in\Big{(}0,\min\Big{(}\frac{1}{4M},\frac{1}{4\int_{-\eta}^{0}(-W^{\prime})}\Big{)}\Big{)}. By letting , and , it follows that holds in , and by interchanging with , we conclude that . ∎
Acknowledgments
The author was partially supported by the National Science Centre, Poland (Grant No. 2017/26/E/ST1/00817). He would also like to thank Anestis Fotiadis for several fruitful discussions that motivated the study of this problem.
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